I am trying to model a data with 6 repeats (number of rows) and 40 categories (number of columns) using multinomial distribution (see below for the data and code). I tried to model this data using two different shape arguments to the likelihood function which I thought would implicitly be broadcaste…

This may help: Distribution Dimensionality — PyMC 5.5.0 documentation Specially the multivariate examples

Confusion on the use of shape parameter in multinomial likelihood

ricardoV94 June 21, 2023, 4:57pm 4

Yeah shapes are more strict (and predictable) in the newer versions

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